DocumentCode
2398485
Title
Embedded wavelet zerotree coding with direct sum quantization structures
Author
Barnes, Christopher F. ; Watkins, John P.
Author_Institution
Georgia Tech. Res. Inst., Atlanta, GA, USA
fYear
1995
fDate
28-30 Mar 1995
Firstpage
252
Lastpage
261
Abstract
One of the more effective data compression systems that has been recently proposed is the relatively simple embedded wavelet image coder developed by J.M. Shapiro (1994). Two key components of Shapiro´s system are the use of zerotrees to keep track of insignificant subband coefficients and progressive transmission of successive bit planes of significant coefficients. Shapiro´s quantization mechanism is the use of scaled successive approximation uniform scalar quantizers. This paper investigates ways of improving the performance of embedded wavelet coders with the use of optimized successive approximation direct sum quantization structures
Keywords
encoding; vector quantisation; wavelet transforms; direct sum quantization structures; embedded wavelet image coder; embedded wavelet zerotree coding; performance; quantization mechanism; scaled successive approximation uniform scalar quantizers; subband coefficients; successive bit planes; Binary codes; Code standards; Data compression; Decoding; Entropy coding; Optimization methods; Quantization; Rate-distortion; Tree data structures;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1995. DCC '95. Proceedings
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-8186-7012-6
Type
conf
DOI
10.1109/DCC.1995.515515
Filename
515515
Link To Document